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2 IDC Snap Shot Market Intelligence, Research and Advisory IIAR Global Analyst Firm of the Year analysts providing a global information community Coverage of 50+ countries around the world Almost 50 years experience analyzing IT and Communications enduser and vendor markets

5 2013 Themes Driving Investment Transformation Matters With ongoing instability of economies and financial markets into 2013, the financial industry will continue to operate with increased regulatory oversight, expectations to improve governance, and persistent pressures to optimize capital and costs These factors play out across the financial services industry landscape as five key themes underpinning risk and technology investments through challenging times o o o o o Competitive Advantage and New Business Growth Strength in Channels Capital And Control Optimization Infrastructure Resilience Operating Efficiency

6 Re-Shaping the Value of IT in the Financial Services Marketplace Regulatory pressures, today s global business demands force financial firms to re-think the value of the technologies, data management, and business process used to operate effectively, compete, and manage risk. The convergence of intelligent devices, social business, pervasive broadband networking, and analytics has ushered in a new platform for financial services that for building and servicing relationships between bankers, customers, partners, and regulators Analytics, Intelligence is the new Core. It is increasingly vital for firms to harness information to make actionable, optimized, and timely decisions, keep risks at anticipated and acceptable levels, and uncover opportunities to stay ahead of the competition IT reliability and efficiency increases as a risk factor. The age and complexity of key systems, lack of resources and skills sets for legacy, the push to reduce costs and meet regulatory requirements means corners will be cut and create additional outages, errors, and missteps requires active management and attention!!

12 While Cloud Has Become Mainstream, There Are Still Many Hurdles To Overcome Security remains the greatest concern for cloud Banks are still developing their cloud roadmap and working through concerns in moving data across borders Source: 2012 Vertical IT & Communications Survey, IDC, May 2012 N= 229 Multiple Responses Allowed Will not equal 100% IDC Financial Insights Visit us at IDC-fi.com 12

17 What Does Big Data Mean to Your Business? Information driven tactical, operational, and strategic business decision-making Enabled by effective use of talent, processes, technologies, and business architectures Designed to economically extract value previously unknown, un-leveraged And of course: from large volumes of a wide variety and high velocity data IDC

20 Big Data Challenges It s not only about technology Deciding what data is relevant (what data to keep/store and what data to discard) Cost of technology infrastructure Not having enough or the right IT skills to manage Big Data projects Not having enough or the right analytics staff to analyze the data Deciding which technology is best/most appropriate for different use cases Lack of business support and/or understand of benefits by business units It s not only about analytics It s not only about social media data It s not only about data scientists 0% 5% 10% 15% 20% 25% 30% N = 2699 Source: IDC 2012 Vertical IT & Communications Survey. IDC

21 Big Data Adoption Drivers It s not all about social media Analysis of operations related data 30.1% Analysis of online customer behavior related data 29.7% Analysis of transactional data from sales systems Service innovation i.e. we developed or plan to develop a new service to our clients based on analysis of big data Analysis of machine or device data 18.8% 17.0% 20.6% Non-analytic workload such as use of Big Data technology to run OLTP systems or web sites or application. 11.0% Q. What are your organization's drivers for using big data technologies and approaches? Source: IDC 2012 Vertical IT & Communications Survey. N = 4177

22 Big Data Technology Stack Decision Support & Automation Interface Applications with functionality required to support collaboration, scenario evaluation, risk management, and decision capture and retention Analytics & Discovery This layer includes software for ad-hoc discovery, and deep analytics and software that supports real-time analysis and automated, rules-based transactional decision making. Data Organization & Management Refers to software that processes and prepares all types of data for analysis. This layer extracts, cleanses, normalizes, tags, and integrates data. Infrastructure The foundation of the stack includes the use of industry standard servers, networks, storage, and clustering software used for scale out deployment of Big Data technology

28 Timeline Roadmap Time frame By Now Next Budget Cycle Short Term 1 2 years Mid-Term 3 5 years Long term Recommendations Inventory potential opportunities. Assess business and IT as-is situation. Identify opportunity to use existing data, technology, and analytics in new ways. Identify relevant technology and analytics skills among existing staff. Engage peers and vendors. Experiment with proof-of-concept and prototype projects. Use early quantifiable wins to demonstrate potential and justify budget allocations. Evaluate existing technology and its shortcomings. Assess skills gaps and plan for hiring and/or external professional services. Identify business sponsors and champions who will support and promote BDA projects. Expand projects, begin to define architectural standards. Merge big data into security and governance policies. Incorporate new data sources. Budget for work-load specific technology. Hire or outsource as needed. Ensure that both performance management and experimentation and discovery use cases and supported with appropriate technology, staff, data, processes, and funding. Engage in business process reengineering in response to new insights from BDA solution(s). Assess progress and adjust internal investment priorities to match evolving requirements. Ensure balanced resource allocation across all dimensions of the solution. Maintain a closed-loop learning environment based on data-driven decision making and expert judgment. IDC

29 Big Data/Analytics: Near Term Milestones In 2013, vendors increasingly provide not only technology but also analytic services and content (data as a service) Distinction between technology and services firms will increasingly blur (Deloitte acquires OCO) Business process consulting accelerates in importance Big Data technology and services market will reach $16 Billion by 2016 M&A activity will kick into high gear in 2014/2015 as infrastructure & app suppliers expand footprints Mid-sized query, reporting and data integration vendors likely targets Recognition of the need for new Big Data technologies, such as Hadoop, to coexist with existing data warehousing, search & discovery, and high end modeling/simulation products

30 Cloud: Near Term Milestones Public IT cloud services spending will reach over $40B in 2012, and will reach almost $100B in 2016 Key app providers such as (Oracle, SAP, IBM) go all in - $17B in deal in the past 20 months, $25B in the next 20 months Rise of Hybrid Dev Ops emerges as a new IT skill - sourcing components and building/maintaining workloads across hybrid environments in a continuous development environment Industry solutions built on cloud rise to over $200B by % of banks globally have the infrastructure "already in production to support their consumption of public cloud services by 2016 Over 50% of governmental organizations at the state level and below will be using regional" government cloud by 2015

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